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Political Feasibility: A Conceptual Exploration

2012· article· en· W1893974355 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolitical Studies · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsConcordia University
Fundersnot available
KeywordsNormativePoliticsPolitical philosophyEpistemologyPolitical methodologyState (computer science)Articulation (sociology)Positive economicsSociologyCategorical variablePolitical scienceLaw and economicsLawSystems theory in political scienceComputer scienceEconomicsPhilosophy

Abstract

fetched live from OpenAlex

To date there is no systematic exploration of the concept of ‘political feasibility’. We believe that feasibility is a central issue for political philosophy, conceptually as well as practically, and that it has been given background status for far too long. Roughly, a state of affairs is feasible if it is one we could actually bring about. But there are many questions to ask about the conditions under which we are justified in thinking that we could bring about a political state of affairs. In this article we bring together several aspects of the concept of feasibility defended in the literature thus far, and build upon them to give an analysis of the notion of political feasibility. We suggest that the notion involves a relation between agents and the pursuit of certain actions and outcomes in certain historical contexts, and that there are two important roles for feasibility to play in political theory, corresponding to two feasibility ‘tests’: one categorical, the other comparative. We show how the tests operate in the assessment of three different levels of a normative political theory: core normative principles, their institutional implementation and the political reforms leading to them. Focusing on the third level, which has received the least attention in the literature, we proceed to explain how feasibility considerations interact with desirability and epistemic considerations in the articulation of normative political judgments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.931
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.456
GPT teacher head0.477
Teacher spread0.021 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it